6 citations · 12 across the 8 of their papers we have counts for
8 papers
Unsupervised Multimodal Surface Registration with Geometric Deep Learning
Mohamed A. Suliman, Logan Z. J. Williams, Abdulah Fawaz +1
This paper introduces GeoMorph, a novel geometric deep-learning framework designed for image registration of cortical surfaces. The registration process consists of two main steps.…
Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach
Hannah Spitzer, Mathilde Ripart, Abdulah Fawaz +6
Focal cortical dysplasia (FCD) is a leading cause of drug-resistant focal epilepsy, which can be cured by surgery. These lesions are extremely subtle and often missed even by exper…
The Multiscale Surface Vision Transformer
Simon Dahan, Logan Z. J. Williams, Daniel Rueckert +1
Surface meshes are a favoured domain for representing structural and functional information on the human cortex, but their complex topology and geometry pose significant challenges…
A Deep Generative Model of Neonatal Cortical Surface Development
Abdulah Fawaz, Logan Z. Williams, A. David Edwards +1
The neonatal cortical surface is known to be affected by preterm birth, and the subsequent changes to cortical organisation have been associated with poorer neurodevelopmental outc…
Surface Analysis with Vision Transformers
Simon Dahan, Logan Z. J. Williams, Abdulah Fawaz +2
The extension of convolutional neural networks (CNNs) to non-Euclidean geometries has led to multiple frameworks for studying manifolds. Many of those methods have shown design lim…
Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces
Simon Dahan, Hao Xu, Logan Z. J. Williams +10
Recent state-of-the-art performances of Vision Transformers (ViT) in computer vision tasks demonstrate that a general-purpose architecture, which implements long-range self-attenti…